307-dora-weight-decomposed-low-rank-adaptation
https://github.com/szu-advtech-2024/307-dora-weight-decomposed-low-rank-adaptation
Science Score: 31.0%
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
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○.zenodo.json file
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○DOI references
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○Academic publication links
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (0.4%) to scientific vocabulary
Last synced: 10 months ago
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Repository
Basic Info
- Host: GitHub
- Owner: SZU-AdvTech-2024
- Default Branch: main
- Size: 0 Bytes
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- Stars: 0
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- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 1 year ago
· Last pushed over 1 year ago
Metadata Files
Citation
https://github.com/SZU-AdvTech-2024/307-DoRA-Weight-Decomposed-Low-Rank-Adaptation/blob/main/
https://github.com/AGI-Edgerunners/LLM-Adapters/tree/main/datasetdataset Train evaluate
Owner
- Name: SZU-AdvTech-2024
- Login: SZU-AdvTech-2024
- Kind: organization
- Repositories: 1
- Profile: https://github.com/SZU-AdvTech-2024
Citation (citation.txt)
@article{REPO307,
author = "Liu, Shih-Yang and Wang, Chien-Yi and Yin, Hongxu and Molchanov, Pavlo and Wang, Yu-Chiang Frank and Cheng, Kwang-Ting and Chen, Min-Hung",
journal = "arXiv preprint arXiv:2402.09353",
title = "{DoRA: Weight-Decomposed Low-Rank Adaptation}",
year = "2024"
}
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